Data Mining Techniques for Customer Relationship Management

被引：225

作者：

Guo, Feng ^{[1
]}

Qin, Huilin ^{[1
]}

机构：

[1] Beijing Wuzi Univ, Informat Sch, Beijing, Peoples R China

来源：

2017 INTERNATIONAL CONFERENCE ON CLOUD TECHNOLOGY AND COMMUNICATION ENGINEERING (CTCE2017) | 2017年 / 910卷

关键词：

D O I：

10.1088/1742-6596/910/1/012021

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Data mining have made customer relationship management (CRM) a new area where firms can gain a competitive advantage, and play a key role in the firms' management decision. In this paper, we first analyze the value and application fields of data mining techniques for CRM, and further explore how data mining applied to Customer churn analysis. A new business culture is developing today. The conventional production centered and sales purposed market strategy is gradually shifting to customer centered and service purposed. Customers' value orientation is increasingly affecting the firms'. And customer resource has become one of the most important strategic resources. Therefore, understanding customers' needs and discriminating the most contributed customers has become the driving force of most modern business.

引用

页数：6

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